Syllabus
Click below to expand the details for each unit, including times and locations of classes and tutorials, the lecture videos you should watch in advance, the review questions you should solve in advance, and the problem sets you should complete after each unit. Please note that all classes and tutorials will take place at Lady Margaret Hall.
Dates, Times, and Locations
MT Week 3.
- Class (Everyone): Weds 4:30-6pm in the Lyttleton Room
- Tutorial 1 (St Anne’s): Thurs 2-3:30pm in the Lyttleton Room
- Tutorial 2 (LMH): Thurs 3:30-5pm in the Lyttleton Room
Videos
- P0: Introduction
- P1: Probability Basics
- P2: Conditional Probability
- P3: Independence & Bayes’ Rule
Quiz
Before class, complete the review questions for class 1. These will be the basis of the quiz at the start of class.
Problem Set
After attending class and the tutorial, complete problem set number one.
Dates, Times, and Locations
MT Week 5. Note the different day and location!
- Class (Everyone): Tues 4:30-6pm in the Lyttleton Room
- Tutorial 1 (St Annes): Weds 2-3:30pm in the Paul Oster Room
- Tutorial 2 (LMH): Weds 3:30-5pm in the Paul Oster Room
Videos
- D0: Data & Variables Intro
- D1: Data Basics
- D2: Probability Mass Functions
- D3: PDFs
- D4: CDFs
- D5: Standardization
- D6: Multivariate Distributions
Quiz
Before class, complete the review questions for class 2. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 1.
Problem Set
After attending class and the tutorial, complete problem set number two.
Dates, Times, and Locations
MT Week 7
- Class (Everyone): Weds 4:30-6pm in the Lyttleton
- Tutorial 1 (St Anne’s): Thurs 2-3:30pm in the Lyttleton Room
- Tutorial 2 (LMH): Thurs 3:30-5pm in the Lyttleton Room
Videos
- M0: Intermission
- M1: Expected Values
- M2: Variance
- M3: Conditional Expectations
- M4: Correlation, Covariance, & Independence
Quiz
Before class, complete the review questions for class 3. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 2.
Problem Set
After attending class and the tutorial, complete problem set number three.
Dates, Times, and Locations
HT Week 2. Precise times and locations TBC.
Videos
- S0: Statistics Intro
- S1: Populations, Samples & Random Variables
- S2: Parameters, Statistics & Estimation
- S3: The Law of Large Numbers & Central Limit Theorem
- S4: Intro to Statistical Inference
- S5: Confidence Intervals Overview
- S5a: Confidence Intervals for Means
- S5b: Confidence Intervals for Proportions
Quiz
Before class, complete the review questions for class 4. These will be the basis of the quiz at the start of class.
Problem Set
After attending class and the tutorial, complete problem set number four.
Dates, Times, and Locations
HT Week 4. Precise times and locations TBC.
Videos
- S6: Tests of Statistical Hypotheses - Overview
- S6a: Tests for Means
- S6b: Tests for Proportions
- S7: Confidence Intervals and Hypothesis Tests Revisited
Quiz
Before class, complete the review questions for class 5. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 4.
Problem Set
After attending class and the tutorial, complete problem set number five.
Dates, Times, and Locations
HT Week 4. Precise times and locations TBC.
Videos
- T0: Time Series Introduction
- T1: Time Series Data
- T3: Basic Operations
- T4: Stationarity
- T5: Some Time Series Models
- T6: Mean Reversion
- T7: Spurious Correlation
Quiz
Before class, complete the review questions for class 6. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 5.
Problem Set
After attending class and the tutorial, complete problem set number six.
Dates, Times, and Locations
HT Week 4. Precise times and locations TBC.
Videos
For this class there are three sets of videos: (1) my introduction to causal inference for a general audience, (2) the lecture videos:
- C0: Introduction
- C1: Potential Outcomes
- C2: Selection Bias
- C3: Randomized Controlled Trials
- C4: Internal and External Validity
- C5: Natural and Quasi-experiments
- C6: Conditional Independence
and (3) some additional videos of mine that complement the lecture videos:
- Potential Outcomes
- Selection Bias
- Conditional Independence (Skip 5:00-11:32 since it’s a bit advanced.)
Quiz
Before class, complete the review questions for class 7. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 6.
Problem Set
After attending class and the tutorial, complete problem set number seven.